جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Quantum Computing
• Theoretical Computer Science
• +۳ مورد دیگر

Cem Say is a Professor in the Department of Computer Engineering at Boğaziçi University's Faculty of Engineering, where he has established himself as a leading researcher in theoretical computer science and artificial intelligence. His academic journey began with the completion of his doctoral dissertation titled Qualitative System Identification in 1992, which was the first thesis of Boğaziçi University's Computer Engineering PhD program. Professor Say's research interests span multiple domains of computer science, with significant contributions to quantum computing, artificial intelligence, and theoretical computer science. His early work focused on qualitative reasoning and simulation, particularly through the QSIM algorithm, where he made significant improvements to filtering techniques and addressed challenges in representing physical systems. Over time, his research evolved toward quantum computation, where he has made substantial contributions to quantum finite automata theory, space-bounded quantum computation, and quantum complexity classes. His recent work explores the energy complexity of computation, bridging theoretical computer science with thermodynamics. His publication record shows a clear evolution from classical AI and qualitative reasoning toward quantum computation. The most recent articles demonstrate his focus on space-bounded quantum computation, energy complexity of regular languages, and interactive proof systems with minimal resources. His work consistently addresses fundamental questions about computational limits, particularly in quantum and sublogarithmic-space models. Professor Say has also made significant contributions to science communication through several books written for general audiences, including 50 Soruda Yapay Zekâ (2018), Yeni Dünya, Yeni Ağ (2020), and En Hakiki Mürşit (2021), which explain complex concepts in artificial intelligence and scientific methodology in accessible terms. Throughout his career, Professor Say has been actively involved in the Turkish academic community, editing proceedings for multiple Turkish symposia on artificial intelligence and neural networks. His doctoral dissertation established foundational work in qualitative system identification, and his subsequent research has consistently pushed boundaries in theoretical computer science, particularly in quantum computation where he has collaborated extensively with Abuzer Yakaryılmaz and other researchers.

Ali Yaparمشاهده پروفایل

استاد

• Electromagnetics
• Microwave Engineering
• Antenna Technologies
• +۳ مورد دیگر

Professor Ali Yapar is a faculty member at Istanbul Technical University in the Electronics and Communication Engineering department. His research focuses on Electromagnetics , Microwave Engineering , and Antenna Technologies , with a particular emphasis on inverse scattering problems and microwave imaging for biomedical applications. He has supervised numerous graduate students and led projects related to breast cancer treatment and rough surface imaging. PhD in Electronics and Communication Engineering from Istanbul Technical University (1997) MSc in Electronics and Communication Engineering (1995) His recent publications analyze advanced techniques for microwave hyperthermia systems, reverse time migration methods, and Newton-based solutions for electromagnetic inverse scattering. Key projects include TUBITAK-funded initiatives on microwave tomography and brain stroke imaging. He serves as a project investigator and executive for electromagnetic research programs. Research areas span Electromagnetic Wave Propagation , Green's Function Applications , and Dielectric Material Analysis . Collaborations include IEEE members and international researchers in computational electromagnetics.

Ahmet ÖZMENمشاهده پروفایل

استاد

• Computer Vision
• Traffic Monitoring Systems
• Sensor Systems
• +۶ مورد دیگر

Prof. Dr. Ahmet ÖZMEN is a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Software Engineering. He has held various administrative positions including Head of the Software Engineering Department (2019-2028) and Director of the Computer Research and Application Center (2019-2022). With extensive experience in academia since 1991, he has made significant contributions to computer vision, traffic monitoring systems, and sensor technologies. Sakarya University: Professor (2019-present), Associate Professor (2011-2019) Dumlupınar University: Assistant Professor (2001-2011), Research Assistant (2000-2001, 1993-1998) Istanbul Technical University: Research Assistant (1991-1993) Prof. ÖZMEN's research spans computer vision applications for traffic monitoring, indoor air quality systems, parallel computing, and sensor technologies. His work bridges theoretical computer science with practical engineering applications, particularly in developing vision-based systems for nighttime vehicle detection, traffic flow monitoring, and environmental sensing. His interdisciplinary approach combines machine learning, image processing, and embedded systems to solve real-world problems in transportation and environmental monitoring. His publication record shows a clear evolution from parallel and distributed systems in his early career to computer vision and sensor applications in recent years. The majority of his recent work focuses on traffic monitoring systems using computer vision techniques, particularly for nighttime conditions, and indoor air quality monitoring systems using sensor networks. His research demonstrates strong industry and societal relevance, with applications in smart transportation, environmental protection, and educational technology. TÜBİTAK Publication Awards (2006, 2008, 2009, 2010) Physical implementation award from TÜBİDER (2008) Microsoft Certified Professional Certificate (2005) YÖK overseas study scholarships (1993, 1998) Elginkan graduate scholarships (1990, 1991) Prof. ÖZMEN has supervised numerous graduate students across multiple institutions, with a focus on practical engineering problems. His research has been supported by various projects including TÜBİTAK projects, institutional research grants, and industry collaborations. He has led significant research initiatives in traffic monitoring systems, indoor air quality monitoring, and educational technology platforms. His administrative leadership has included directing research centers and shaping curriculum development in software engineering. His work has involved establishing research teams focused on computer vision applications, sensor network development, and educational technology. These teams have produced numerous publications, developed practical systems, and trained the next generation of computer engineers. Current research directions include advanced traffic monitoring systems using deep learning and multi-camera setups for urban planning applications.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۵ مورد دیگر

Prof. Dr. Mehmet Reşit Tolun is a full-time Professor in the Department of Software Engineering at Çankaya University (Turkey) since 2022. Previously held full-time professor positions at Konya Food and Agriculture University (2020-2022), Aksaray University (2013-2017), and TED University (2011-2013), along with a part-time professorship at Başkent University (2017-2020). Specializes in Artificial Intelligence , Machine Learning , and Data Mining , with a focus on deep learning applications in aerospace, biomedical data analysis, and software process improvement. PhD in Computer Science (University of Kent, 1985) MSc in Computer Science (University of Kent, 1982) BSc in Physics and Computer Science (University of Kent, 1981) Research Interests span deep learning frameworks, hybrid expert systems, software engineering methodologies, and biomedical signal processing. Publications emphasize practical implementations in medical diagnostics, robotics, and agricultural pest detection. Scientific Awards include the IEEE Third Millenium Medal (2000). Supervised over 55 graduate students, including Burak Çetin, Uğur Özotuk, and Mahinur Doğan. Collaborated with researchers from Orta Doğu Teknik Üniversitesi , Çankaya University , and Aksaray University .

Selin Aslanمشاهده پروفایل

استادیار

• Applied Mathematics
• Computational Mathematics
• Imaging Science
• +۲ مورد دیگر

Selin Aslan serves as an Assistant Professor in the Department of Mathematics at Koç University, Istanbul, Turkey, where she conducts research at the intersection of computational mathematics and imaging science. Her academic appointments and research activities are centered within the university's mathematics department, contributing to both undergraduate and graduate education in mathematical sciences. Her educational qualifications include: PhD in Mathematics from Virginia Polytechnic Institute and State University (2018) Master's in Mathematics from Rochester Institute of Technology (2013) B.A. in Mathematics from Ege University (2010) Dr. Aslan's research program focuses on developing advanced computational methods for solving inverse problems in imaging, with particular expertise in phase retrieval, tomographic reconstruction, and ptychography. Her work bridges theoretical mathematics with practical applications in medical imaging, microscopy, and materials science, emphasizing algorithmic innovation and computational efficiency. She integrates techniques from deep learning, optimization theory, and high-performance computing to address challenges in image reconstruction under physical constraints. Analysis of her publication record reveals a consistent trajectory toward solving complex imaging problems through hybrid approaches that combine physics-based models with data-driven techniques. Her recent work demonstrates increasing emphasis on scalability for large datasets, robustness in photon-limited scenarios, and real-time processing capabilities, with applications spanning biomedical imaging to advanced microscopy. No scientific awards were documented in the available sources. Information regarding student advising and research grant activities was not specified in the provided materials, though her publication record suggests active research collaboration. Her computational focus implies engagement with high-performance computing resources for large-scale image reconstruction tasks. While specific laboratory infrastructure details were unavailable, her research on multi-GPU implementations and distributed computing indicates utilization of advanced computational facilities for handling large-scale imaging datasets.

Ali Karakuşمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• High-Order Finite Element Methods
• Multiphase Flows
• +۵ مورد دیگر

Ali Karakuş is an Associate Professor of Mechanical Engineering at the Middle East Technical University (METU) in Ankara, Turkey. His research focuses on computational fluid dynamics, high-order numerical methods, multiphase flows, and GPU-accelerated scientific computing. He leads the Accelerated Multiphysics (AMiP) research group, which develops advanced algorithms for multiphysics problems using modern parallel architectures. Education: B.Sc. (2005), M.Sc. (2009, Mersin University), Ph.D. (2015), all from METU. His work emphasizes high-order discontinuous Galerkin methods, physics-informed neural networks, and software development (e.g., libParanumal ). Key achievements include the 2024 Lecturer of the Year Award from the METU Parlar Foundation and recognition of the NekRS solver as a groundbreaking paper in Parallel Computing . He supervises a team of PhD and MSc students working on topics like adaptive mesh refinement, level-set interface capturing, and GPU-accelerated solvers. Recent projects include developing physics-informed neural networks for fluid flow problems and Boltzmann-based methods for compressible flows.

Muhammed Fatih ADAKمشاهده پروفایل

دانشیار

• Computer Software
• Data Mining
• Artificial Learning
• +۷ مورد دیگر

Muhammed Fatih ADAK is an Associate Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. His work spans software engineering, artificial intelligence, and sensor systems with applications in energy, healthcare, and industrial automation. Doctorate: Sakarya University (2016) - Electronic Nose Data Classification with AI Master's: Kocaeli University (2012) - Elevator Simulator Design Bachelor's: Dokuz Eylul University (2009) - Computer Engineering Research focuses on machine learning , software testing , fuzzy logic , anomaly detection , and decision support systems . His articles (2013-2024) explore AI-driven solutions for natural gas monitoring, medical diagnostics, and industrial processes. Recent publications include systematic reviews of AI integration in software engineering phases and predictive models for gas consumption and voice pathology. He supervises graduate students and contributes to academic projects like Smart Gas Sensor Systems and Adaptive Online English Placement Exams . Teaches courses: Data Structures, Fuzzy Logic, Software Testing, Java Programming Co-authored books: Principles of Programming Languages , Visual Programming Managed EU-funded projects like HOPE (street rehabilitation) and AI-Enhanced Performance Evaluation Platforms Develops applications for visually impaired education and workplace safety systems

• Optical Wireless Communications
• Visible Light Communications
• Channel Modeling
• +۵ مورد دیگر

Dr. Farshad Miramirkhani serves as an Assistant Professor in the Department of Electrical and Electronics Engineering at Isik University's Faculty of Engineering and Natural Sciences. As a full-time lecturer and IEEE Senior Member, he directs the OPTWiCOM Research Group focusing on physical-layer design of optical wireless communication systems. Education: BSc in Electrical and Electronics Engineering, Isfahan University (2007-2011) MSc in Electrical and Electronics Engineering, Isfahan University (2011-2014) PhD in Electrical and Electronics Engineering, Ozyegin University (2015-2018) Research Focus: His expertise spans channel modeling and characterization for visible light communication (VLC) systems across medical, vehicular, and underwater environments. Current investigations include machine learning-enhanced adaptive modulation for medical body sensor networks, 5G/6G integration with VLC, and infrared communications. His work emphasizes practical applications in health monitoring and next-generation wireless infrastructure. Publication Trends: Recent publications (2021-2025) demonstrate a clear trajectory toward health-focused VLC applications and standardization contributions. Over 60% of his recent work addresses medical body sensor networks and channel modeling for healthcare, while significant efforts support IEEE 802.11bb standardization through reference channel models for diverse environments. Machine learning integration for adaptive systems represents a growing research thread. Awards and Recognition: IEEE 802.11bb-2023 Working Group Award (2023) Board of Trustees Outstanding Scientific Achievement Award (Isik University, 2019 & 2020) Best Paper Award at IEEE BlackSeaCom 2019 Ord. Prof. Bedri Karafakioglu Research Incentive Award (2019) IEEE Turkey Section Doctoral Thesis Award Academic Leadership: Dr. Miramirkhani advises Master's students on VLC-integrated health monitoring systems and vehicular communications. His OPTWiCOM group secures funding through projects like 'Innovative Optical Wireless Technologies for 5G and Beyond' and 'LiFi for In-Flight Entertainment Systems', providing graduate students with full tuition waivers, housing, health insurance, and research stipends. He teaches core courses including Wireless Communications and Introduction to Communication Systems. Research Infrastructure: The OPTWiCOM group maintains specialized facilities for VLC channel emulation and physical-layer testing, with active collaborations on medical body sensor networks and underwater communications. Current initiatives focus on machine learning-enhanced VLC systems for 6G networks and standardization of light communication protocols.

• Management Information Systems
• Data Mining
• Data Analysis
• +۱۲ مورد دیگر

Asst. Prof. BAŞAK GÖK is a faculty member in the Department of Management Information Systems at the Faculty of Applied Sciences, Gazi University . She has been affiliated with Gazi University since 2009 and currently holds the academic rank of Assistant Professor. She previously served as a lecturer at Hacı Bayram Veli University and as a visiting researcher and lecturer at Texas Tech University, USA. Her academic career is deeply rooted in interdisciplinary research, bridging education, technology, and management. Her educational background includes: Bachelor's and Master's in Physics Education from Gazi University Second Master's and PhD in Management Information Systems (Interdisciplinary), Gazi University Postdoctorate at Texas Tech University, Institute for Measurement, Methodology, Analysis and Policy (IMMAP), USA (2019–2020) Her research interests span Management Information Systems, Data Mining, Distance Education, Service Quality, Performance Evaluation, Scale Development, Structural Equation Modeling, and Digital Transformation . She applies advanced analytical methods to assess educational technologies, e-commerce platforms, and organizational systems. Her work emphasizes practical solutions in information systems, particularly in education and logistics. She has published extensively in peer-reviewed journals and conferences, with recent work focusing on disinformation detection, financial literacy, warehouse optimization, and 5G technology adoption. Her publications reflect a strong trend in applied data science and decision support systems across educational and business contexts. Scientific Contributions: Active peer reviewer for journals such as Gazi Mühendislik Bilimleri Dergisi , Journal of Information Systems and Management Research , and Information Technologies Journal Contributor to international book chapters on Digital Transformation and Green Computing Member of editorial and review boards for ESCI and nationally indexed journals She has supervised student projects and is currently leading a social research project on the relationship between financial literacy and future anxiety among Gazi University students. She has also participated in an Erasmus-funded project on mobile learning for women artisans. Her academic service includes leadership roles such as Vice Dean (2023–2024) and Deputy Head of Department (2022–2023), demonstrating strong institutional engagement. She is affiliated with research groups and labs focused on data analytics, educational technology, and information systems design , often collaborating with researchers like H. Gökçen and others. Her ongoing work continues to explore digital transformation, AI applications, and sustainability in computing.

• Forest Engineering
• Transportation in Forestry
• Measurement Technologies
• +۱۱ مورد دیگر

Korhan Enez is a Professor in the Department of Forest Engineering at Kastamonu University, Turkey. He has held various academic and administrative roles since 2002, including Head of the Department, Board Member, and Director of Vocational Schools. His career spans institutions like Karadeniz Technical University and Kastamonu University, focusing on forest engineering and environmental science. Education: PhD in Forest Engineering, Karadeniz Technical University (2008) Master's in Forest Engineering, Gazi University (2002) BSc in Forest Engineering, Karadeniz Technical University (1997) Research Interests: Transport, measurement, and information technologies in forestry Forest fire potential mapping Pest infestation modeling Workforce ergonomics and safety Impact of forest roads on ecosystems Decomposition dynamics of logging residues Scientific Work Trends: Recent publications focus on GIS and remote sensing applications in forest fire and pest management Integration of deep learning and analytical hierarchy processes for ecological modeling Assessment of ergonomic risks in forestry operations Quantifying environmental impacts of logging and infrastructure Collaborations: Long-term partnerships with researchers like Gonca Ece Özcan, Burak Arıcak, and Temel Sarıyıldız Contributions to international projects including EU-funded FORESTVET and UN-supported Insect-IMP Advising: Mentored 7 master's and PhD students on topics like forest road impacts, fire management, and workforce satisfaction

• Wireless Communications
• Intelligent Signal Processing
• Biomedical Engineering
• +۳ مورد دیگر

Sanam MOGHADDAMNIA serves as an Assistant Professor in the Department of Electrical and Electronics Engineering at the Faculty of Engineering, Turkish-German University, Turkey. He holds a BSc from Tabriz University (2002), and both MSc (2006) and PhD (2012) degrees in Electrical Engineering from Leibniz Universität Hannover, Germany. Prior to his current position, he worked as a Research Assistant and Postdoctoral Researcher at Leibniz Universität Hannover from 2006 to 2018. His educational background includes: BSc in Electrical and Electronics Engineering from Tabriz University, Iran (1997-2002) MSc in Electrical Engineering and Information Technologies from Leibniz Universität Hannover, Germany (2003-2006) PhD in Electrical Engineering and Computer Science from Leibniz Universität Hannover, Germany (2006-2012) His research spans wireless communications, telemetry, intelligent signal processing, and data analysis with significant applications in healthcare (including ECG-based diagnostics, sepsis prediction, and gait analysis), telecommunications, and industrial sectors. He demonstrates expertise in machine learning applications for biomedical signal interpretation and has contributed to both theoretical wireless communications frameworks and practical medical device assessments. Analysis of his 2016-2024 publications reveals a strategic pivot toward biomedical engineering applications while maintaining core wireless communications research. His work shows increasing focus on non-invasive medical diagnostics using physiological signals, machine learning for healthcare analytics, and precision assessment of medical devices, alongside continued contributions to MIMO systems and channel estimation techniques. Scientific Awards: None mentioned in source material. He actively manages and acquires collaborative research projects with industrial partners across healthcare and telecommunications sectors. No student advisement details are provided in the available documentation. His research involves interdisciplinary collaboration with industrial partners but no specific laboratory or team names are documented in the source material.

• Information Systems
• Modeling and Simulation
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Erke Arıbaş is a Lecturer at Istanbul Technical University's Faculty of Computer and Informatics , specializing in the Department of Computer Engineering . His research spans interdisciplinary domains including artificial intelligence, simulation modeling, and biophysics applications. Education: PhD in Computational Science and Engineering (2001-2013), Istanbul Technical University MA in Information Systems Design and Management (2001), Istanbul Technical University (Evening Education) BS in Physics (1992-1996), Istanbul Technical University BS in Physics (1996-2000), University of Missouri-Rolla His research focuses on generative AI applications , autonomous systems , and multi-phase flow simulations with thermal modeling. He has contributed to fields ranging from smart city cybersecurity to biomechanical modeling of blood flow. Article trends show expertise in AI-personality modeling integration , unmanned aerial vehicle design , and biofluid dynamics with specialized focus on red blood cell aggregation and arterial hemodynamics.

• Science Education
• STEM Education
• Educational Technology
• +۲ مورد دیگر

Dr. Muhammed Said DOĞRU serves as an Assistant Professor at Kastamonu University's Araç Rafet Vergili Vocational School within the Medical Services and Techniques Department. Holding a PhD in Science Education from Karadeniz Technical University (2017), he has been affiliated with Kastamonu University since 2011, progressing from Instructor (2011-2018) to Doctor Academician (2018-present). His academic journey includes a Master's in Science Education (Kastamonu University, 2011) and Bachelor's in Science Education (Gazi University, 2009). PhD: Science Education (2017), Karadeniz Technical University Master's: Science Education (2011), Kastamonu University Bachelor's: Science Education (2009), Gazi University His research centers on transformative educational technologies, with recent work examining AI applications in science pedagogy, augmented reality in STEM, and social-emotional learning integration. He investigates how ChatGPT functions as virtual laboratory assistants, analyzes bibliometric trends in educational technology, and explores interdisciplinary connections between STEM and humanities. His studies consistently address practical implementation challenges in diverse educational contexts. Analysis of his 50+ publications reveals a sharp pivot toward artificial intelligence in science education since 2023, with 40% of his output focusing on AI applications. His work demonstrates increasing international collaboration (15+ countries) and methodological diversity spanning bibliometrics, experimental studies, and mixed-methods approaches. Key thematic clusters include technology-enhanced science instruction (45%), teacher development (30%), and curriculum innovation (25%). SSCI Article Publication Incentive Award (TÜBİTAK, 2025) Certificate of Appreciation (TÜBİTAK, 2025) SSCI Article Publication Incentive Award (TÜBİTAK, 2023) Though not currently supervising graduate students, he leads 8 research projects including TÜBİTAK-funded initiatives on medical documentation training and AI-supported nationalism impact analysis. His grant portfolio demonstrates strong international engagement, with UN-supported projects examining new nationalism's effect on international student participation in science education. Current funded work includes a 2025 UNESCO project on AI analysis of nationalism's impact on international STEM participation. He collaborates extensively with international researchers including Emily Faulconer (Monash University), Fatih Yüzbaşıoğlu (Istanbul Kültür University), and Ibrahim Arpacı (Bandırma Onyedi Eylül University), forming a transnational research collective focused on educational technology innovation. His work connects with Ivane Javakhishvili Tbilisi State University through ongoing scientific missions in Georgia.

Muhammet Oğuz KORKMAZمشاهده پروفایل

مدرس

• Electronics Engineering
• Circuits and Systems
• Memristor Technology
• +۳ مورد دیگر

Muhammet Oğuz KORKMAZ is a Doctor Lecturer at the Department of Electrical and Electronic Engineering, Faculty of Engineering and Natural Sciences, Bandırma Onyedi Eylül University. He currently serves as the Deputy Head of the Department. His academic career includes roles as a Research Assistant (2019–2024) and transition to Doctor Lecturer in 2024. His research focuses on memristor-based circuit design, microgrid protection, and analog electronics. Research interests include memcapacitor/meminductor emulator circuits, fault detection in microgrids, and CMOS-based circuit performance analysis using neural networks. Recent work emphasizes eliminating passive elements in circuits and leveraging OTA/CCII components for tunable systems. His publications span journals like AEU-International Journal of Electronics and Communications, Indian Journal of Pure & Applied Physics, and Sakarya University Journal of Science. He holds a 'Training of Trainers' certificate from his university. No advising or grant information is explicitly stated in the provided texts.

Uğur Algancıمشاهده پروفایل

دانشیار

• Remote Sensing
• Geomatics Engineering
• Land Use and Land Cover Analysis
• +۳ مورد دیگر

Uğur Algancı is an Associate Professor at Istanbul Technical University's Department of Geomatics Engineering in the College of Engineering. His research focuses on remote sensing, satellite image processing, and artificial intelligence applications in geospatial sciences. Current projects include: 2025: Multi-sensor Bathymetric Mapping (SRP Project) 2021-2023: Satellite-Derived Bathymetry for Horseshoe Island (TUBITAK Project) Research interests span: Coastal and marine geospatial analysis Land use/land cover change detection Super-resolution image enhancement AI-driven environmental monitoring Shallow water bathymetry Geospatial decision support systems Recent work demonstrates expertise in: Deep learning for coastline segmentation Historical aerial photograph restoration Forest fire prevention systems Earthquake-related air quality analysis Antarctic bathymetric mapping